Triple

T38352278
Position Surface form Disambiguated ID Type / Status
Subject Joseph H. Nicholson E1046221 entity
Predicate admitted to the bar P81042 FINISHED
Object Maryland NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maryland | Statement: [Joseph H. Nicholson, admitted to the bar, Maryland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: admitted to the bar
Context triple: [Joseph H. Nicholson, admitted to the bar, Maryland]
  • A. calledToTheBarAt
    Indicates that a person has been formally admitted and authorized to practice as a barrister by a specific legal institution or jurisdiction at a certain time.
  • B. jurisdictionAdmittedToBar chosen
    Indicates that a legal professional has been formally admitted and authorized to practice law within a particular jurisdiction.
  • C. jurisdictionOfBarEligibility
    Indicates the jurisdiction in which an individual is eligible or authorized to be admitted to practice law (i.e., to the bar).
  • D. admittedTo
    Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
  • E. admitted
    Indicates that one entity has formally accepted, acknowledged, or allowed another entity or fact, often into a place, group, or state.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e3a94fc81908edc175e8d259e80 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcc7a4d7f881908b43b960911b81e9 completed May 7, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69fcc589720c819089c8f500fea3c86a completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:31 p.m.